the scaling laws in the dynamics of #coronavavirus #COVID19 case counts (and an explanation for them) here: https://t.co/MFAUbj1K5d
Forwarded from دفتر فرهنگی دانشکده فیزیک
🔰 دفتر فرهنگی دانشکده فیزیک علم و صنعت برگزار میکند:
✅ آشنایی با سیستم های پیچیده
سیستم های حرکت جمعی و کاربرد ها
چگونه فعالیت های جمعی در توییتر باعث فریب میشوند؟!
👤سخنران:
دکتر غلامرضا جعفری استاد دانشکده فیزیک دانشگاه شهید بهشتی
📆 زمان:
5ام اسفندماه ساعت 13
🏫 مکان:
دانشگاه علم صنعت - سالن سمینار دانشکده فیزیک شماره یک
➖➖➖➖➖➖➖➖➖➖➖
✅ دفتر فرهنگی دانشکده فیزیک
🌐 www.alphanity.ir
🆔 @DaftarFarhangi
📱 instagram.com/Dfp_iust
✅ آشنایی با سیستم های پیچیده
سیستم های حرکت جمعی و کاربرد ها
چگونه فعالیت های جمعی در توییتر باعث فریب میشوند؟!
👤سخنران:
دکتر غلامرضا جعفری استاد دانشکده فیزیک دانشگاه شهید بهشتی
📆 زمان:
5ام اسفندماه ساعت 13
🏫 مکان:
دانشگاه علم صنعت - سالن سمینار دانشکده فیزیک شماره یک
➖➖➖➖➖➖➖➖➖➖➖
✅ دفتر فرهنگی دانشکده فیزیک
🌐 www.alphanity.ir
🆔 @DaftarFarhangi
📱 instagram.com/Dfp_iust
"Bridging data science and dynamical systems theory" (by Tyrus Berry, Dimitrios Giannakis, John Harlim): https://arxiv.org/abs/2002.07928
"This short review describes mathematical techniques for statistical analysis and prediction in dynamical systems."
"This short review describes mathematical techniques for statistical analysis and prediction in dynamical systems."
Bayesian stochastic blockmodeling
Tiago P. Peixoto
last revised 6 Feb 2020 (this version, v8)
https://arxiv.org/pdf/1705.10225
This chapter provides a self-contained introduction to the use of Bayesian inference to extract large-scale modular structures from network data, based on the stochastic blockmodel (SBM), as well as its degree-corrected and overlapping generalizations. We focus on nonparametric formulations that allow their inference in a manner that prevents overfitting, and enables model selection. We discuss aspects of the choice of priors, in particular how to avoid underfitting via increased Bayesian hierarchies, and we contrast the task of sampling network partitions from the posterior distribution with finding the single point estimate that maximizes it, while describing efficient algorithms to perform either one. We also show how inferring the SBM can be used to predict missing and spurious links, and shed light on the fundamental limitations of the detectability of modular structures in networks.
Tiago P. Peixoto
last revised 6 Feb 2020 (this version, v8)
https://arxiv.org/pdf/1705.10225
This chapter provides a self-contained introduction to the use of Bayesian inference to extract large-scale modular structures from network data, based on the stochastic blockmodel (SBM), as well as its degree-corrected and overlapping generalizations. We focus on nonparametric formulations that allow their inference in a manner that prevents overfitting, and enables model selection. We discuss aspects of the choice of priors, in particular how to avoid underfitting via increased Bayesian hierarchies, and we contrast the task of sampling network partitions from the posterior distribution with finding the single point estimate that maximizes it, while describing efficient algorithms to perform either one. We also show how inferring the SBM can be used to predict missing and spurious links, and shed light on the fundamental limitations of the detectability of modular structures in networks.
Forwarded from Complex Networks (SBU)
یازدهمین کنفرانس فیزیک آماری، ماده چگال نرم و سیستمهای پیچیده
۲۷ و ۲۸ فروردین ۱۳۹۹
⚡ مهلت ارسال مقاله تا ۵ اسفند ماه تمدید شد. ⚡
http://www.psi.ir/farsi.asp?page=smc99
۲۷ و ۲۸ فروردین ۱۳۹۹
⚡ مهلت ارسال مقاله تا ۵ اسفند ماه تمدید شد. ⚡
http://www.psi.ir/farsi.asp?page=smc99
www.psi.ir
Welcome to the PSI Web Site
The Physical Society of Iran Web Site.
Complex Systems Studies pinned «یازدهمین کنفرانس فیزیک آماری، ماده چگال نرم و سیستمهای پیچیده ۲۷ و ۲۸ فروردین ۱۳۹۹ ⚡ مهلت ارسال مقاله تا ۵ اسفند ماه تمدید شد. ⚡ http://www.psi.ir/farsi.asp?page=smc99»
قبل از اینکه سر رأی دادن و ندادن با هم بجنگید، این را یک دور بازی کنید:
https://t.co/JejBjCAECa
@hamed_allaei
https://t.co/JejBjCAECa
@hamed_allaei
hamed.github.io
تکامل اعتماد
یک راهنمای تعاملی برای نظریه بازی درباره اینکه چرا به یکدیگر اعتماد میکنیم
On looking below the shoulders of giants is now out in PRR.
Learn how to deal with the full body of literature behind direct citations to articles.
https://t.co/72gIRPlnyD
Learn how to deal with the full body of literature behind direct citations to articles.
https://t.co/72gIRPlnyD
💰 Fantastic opportunity to join a #PhD training programme with strong industry links, a large cohort of students, and of course brilliant academic supervision https://t.co/gcz6eFsorc
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به سرعت انتشار ویروس #کرونا توجه کنند.
با سلام
با کلیک بر روی لینک زیر👇 بصورت لحظه ای آخرین آمار مرگ ومیر ، ابتلا و جزئیات کروناویروس در ایران و جهان را می توانید دریافت نمائید .
https://www.worldometers.info/coronavirus/
با کلیک بر روی لینک زیر👇 بصورت لحظه ای آخرین آمار مرگ ومیر ، ابتلا و جزئیات کروناویروس در ایران و جهان را می توانید دریافت نمائید .
https://www.worldometers.info/coronavirus/
www.worldometers.info
COVID - Coronavirus Statistics - Worldometer
Daily and weekly updated statistics tracking the number of COVID-19 cases, recovered, and deaths. Historical data with cumulative charts, graphs, and updates.
💡 Lessons learnt from 288 #COVID19 international cases:
importations over time, effect of interventions,
underdetection of imported cases
https://t.co/xY2wfUSJeO
importations over time, effect of interventions,
underdetection of imported cases
https://t.co/xY2wfUSJeO
book_chapter_10.pdf
20.7 MB
#کرونا | این فصل از کتاب شبکه باراباشی مدلهای اپیدمی رو توضیح داده. شاید خوب باشه که لاقل ما اهالی علم این بخش رو درست بخونیم و درک بهتری داشته باشیم از این مسئله. اگه جایی خواستیم نظر بدیم، کمی دقیقتر حرف بزنیم.
Just advertising three new #PhD positions focused on networks dynamics, biodiversity and social data. More soon.
💰 https://t.co/AKdpLLXPds
💰 https://t.co/Bk8o6YlZcL
💰 https://t.co/YrDLvDw851
💰 https://t.co/AKdpLLXPds
💰 https://t.co/Bk8o6YlZcL
💰 https://t.co/YrDLvDw851
Umantis
PhD Position "Modelling biodiversity in complex environments" (m/f/d)
Layout AWI Forschung englisch extern
Interacting contagions
Sune Lehmann
Nature Physics (2020)
Complex contagions — for example when ideas spread across a network — are thought to be different from the simple contagions observed for infections. Simple contagions are now shown to exhibit a key macroscopic characteristic of complex behaviour when they interact.
https://www.nature.com/articles/s41567-020-0817-9
Sune Lehmann
Nature Physics (2020)
Complex contagions — for example when ideas spread across a network — are thought to be different from the simple contagions observed for infections. Simple contagions are now shown to exhibit a key macroscopic characteristic of complex behaviour when they interact.
https://www.nature.com/articles/s41567-020-0817-9
🧬 Lecture on the Coronavirus outbreak
Feb 26th 10:15
https://memento.epfl.ch/event/lecture-on-the-coronavirus-outbreak-on-feb-26th-10/
The lecture will focus on the epidemiology of the ongoing coronavirus (COVID-19) outbreak, and will exceptionally be streamed on Zoom.
📺 Live stream from Youtube:
https://www.youtube.com/channel/UCyUR1k228kWH_coPfR7ffqw
Feb 26th 10:15
https://memento.epfl.ch/event/lecture-on-the-coronavirus-outbreak-on-feb-26th-10/
The lecture will focus on the epidemiology of the ongoing coronavirus (COVID-19) outbreak, and will exceptionally be streamed on Zoom.
📺 Live stream from Youtube:
https://www.youtube.com/channel/UCyUR1k228kWH_coPfR7ffqw
YouTube
EPFL Life Science - Talks and Lectures
EPFL School of Life Sciences fosters education, research and innovation at the interface of engineering and biology to advance the understanding of the livin...